Aniket Kittur
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Publications by Aniket Kittur (bibliography)
» 2009 «
Kittur, Aniket, Lee, Bryant and Kraut, Robert E. (2009): Coordination in collective intelligence: the role of team structure and task interdependence. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1495-1504. Available online
The success of Wikipedia has demonstrated the power of peer production in knowledge building. However, unlike many other examples of collective intelligence, tasks in Wikipedia can be deeply interdependent and may incur high coordination costs among editors. Increasing the number of editors increases the resources available to the system, but it also raises the costs of coordination. This suggests that the dependencies of tasks in Wikipedia may determine whether they benefit from increasing the number of editors involved. Specifically, we hypothesize that adding editors may benefit low-coordination tasks but have negative consequences for tasks requiring a high degree of coordination. Furthermore, concentrating the work to reduce coordination dependencies should enable more efficient work by many editors. Analyses of both article ratings and article review comments provide support for both hypotheses. These results suggest ways to better harness the efforts of many editors in social collaborative systems involving high coordination tasks.
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Kittur, Aniket, Chi, Ed H. and Suh, Bongwon (2009): What's in Wikipedia?: mapping topics and conflict using socially annotated category structure. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1509-1512. Available online
Wikipedia is an online encyclopedia which has undergone tremendous growth. However, this same growth has made it difficult to characterize its content and coverage. In this paper we develop measures to map Wikipedia using its socially annotated, hierarchical category structure. We introduce a mapping technique that takes advantage of socially-annotated hierarchical categories while dealing with the inconsistencies and noise inherent in the distributed way that they are generated. The technique is demonstrated through two applications: mapping the distribution of topics in Wikipedia and how they have changed over time; and mapping the degree of conflict found in each topic area. We also discuss the utility of the approach for other applications and datasets involving collaboratively annotated category hierarchies.
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Chau, Duen Horng, Kittur, Aniket, Faloutsos, Christos and Hong, Jason I. (2009): SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3535-3536. Available online
We present a novel method and prototype system to help users make sense of and reorganize large amounts of heterogeneous information. Our work is grounded in theories of categorization from cognitive psychology and is designed for ad hoc sensemaking; that is, supporting people's shifting goals and flexible mental representations of concepts. Shiftr adapts a carefully chosen Belief Propagation algorithm from large-scale graph mining to efficiently assist users in interactively clustering information of arbitrary types. The system functions effectively with few human-labeled examples, and supports the use of both positive and negative examples. We demonstrate Shiftr's utility through sensemaking scenarios, one of which uses the DBLP bibliography dataset, which contains more than 1.7 million author-paper relationships.
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» 2008 «
Kittur, Aniket, Chi, Ed H. and Suh, Bongwon (2008): Crowdsourcing user studies with Mechanical Turk. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 453-456. Available online
User studies are important for many aspects of the design process and involve techniques ranging from informal surveys to rigorous laboratory studies. However, the costs involved in engaging users often requires practitioners to trade off between sample size, time requirements, and monetary costs. Micro-task markets, such as Amazon's Mechanical Turk, offer a potential paradigm for engaging a large number of users for low time and monetary costs. Here we investigate the utility of a micro-task market for collecting user measurements, and discuss design considerations for developing remote micro user evaluation tasks. Although micro-task markets have great potential for rapidly collecting user measurements at low costs, we found that special care is needed in formulating tasks in order to harness the capabilities of the approach.
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Suh, Bongwon, Chi, Ed H., Kittur, Aniket and Pendleton, Bryan A. (2008): Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1037-1040. Available online
Wikis are collaborative systems in which virtually anyone can edit anything. Although wikis have become highly popular in many domains, their mutable nature often leads them to be distrusted as a reliable source of information. Here we describe a social dynamic analysis tool called WikiDashboard which aims to improve social transparency and accountability on Wikipedia articles. Early reactions from users suggest that the increased transparency afforded by the tool can improve the interpretation, communication, and trustworthiness of Wikipedia articles.
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Kittur, Aniket and Kraut, Robert E. (2008): Harnessing the wisdom of crowds in wikipedia: quality through coordination. In: Proceedings of ACM CSCW08 Conference on Computer-Supported Cooperative Work 2008. pp. 37-46. Available online
Wikipedia's success is often attributed to the large numbers of contributors who improve the accuracy, completeness and clarity of articles while reducing bias. However, because of the coordination needed to write an article collaboratively, adding contributors is costly. We examined how the number of editors in Wikipedia and the coordination methods they use affect article quality. We distinguish between explicit coordination, in which editors plan the article through communication, and implicit coordination, in which a subset of editors structure the work by doing the majority of it. Adding more editors to an article improved article quality only when they used appropriate coordination techniques and was harmful when they did not. Implicit coordination through concentrating the work was more helpful when many editors contributed, but explicit coordination through communication was not. Both types of coordination improved quality more when an article was in a formative stage. These results demonstrate the critical importance of coordination in effectively harnessing the "wisdom of the crowd" in online production environments.
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Kittur, Aniket, Suh, Bongwon and Chi, Ed H. (2008): Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia. In: Proceedings of ACM CSCW08 Conference on Computer-Supported Cooperative Work 2008. pp. 477-480. Available online
Wikipedia has become one of the most important information resources on the Web by promoting peer collaboration and enabling virtually anyone to edit anything. However, this mutability also leads many to distrust it as a reliable source of information. Although there have been many attempts at developing metrics to help users judge the trustworthiness of content, it is unknown how much impact such measures can have on a system that is perceived as inherently unstable. Here we examine whether a visualization that exposes hidden article information can impact readers' perceptions of trustworthiness in a wiki environment. Our results suggest that surfacing information relevant to the stability of the article and the patterns of editor behavior can have a significant impact on users' trust across a variety of page types.
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» 2007 «
Kittur, Aniket, Suh, Bongwon, Pendleton, Bryan A. and Chi, Ed H. (2007): He says, she says: conflict and coordination in Wikipedia. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 453-462. Available online
Wikipedia, a wiki-based encyclopedia, has become one of the most successful experiments in collaborative knowledge building on the Internet. As Wikipedia continues to grow, the potential for conflict and the need for coordination increase as well. This article examines the growth of such non-direct work and describes the development of tools to characterize conflict and coordination costs in Wikipedia. The results may inform the design of new collaborative knowledge systems.
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Mar 22nd, 2010
Changes to this page (author)
15 Feb 2010: Enabled abstracts to be shown on Aniket Kittur's author page.09 May 2009: Author was edited 09 May 2009: Author was edited
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